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On speed estimation of permanent magnet synchronous motor using adaptive robust position observer and differentiator

Authors :
Alois Zgorski
Xuefang Lin Shi
Lilia Sidhom
Alaa Hijazi
Ampère (AMPERE)
École Centrale de Lyon (ECL)
Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Giri, Fouad
Fadili, Jalal
Duclos, Daniel
Van Assche, Vincent
Source :
ALCOSP, Adaptation and Learning in Control and Signal Processing, IFAC, IFAC, Giri, Fouad; Fadili, Jalal; Duclos, Daniel, Jul 2013, Caen, France. pp.116-121, ⟨10.3182/20130703-3-FR-4038.00082⟩
Publication Year :
2013
Publisher :
Elsevier BV, 2013.

Abstract

International audience; This article concerns a novel method for sensorless speed control of Permanent Magnet Synchrounous Motor based on adaptive supertwisting sliding mode algorithm. This algorithm is used for motor position observation and for the derivation of the position to deduce the speed. The stability is deduced based on the Lyapunov theory. The Experimental tests, carried out on a test bench, show the pertinence of the proposed scheme.

Details

ISSN :
14746670
Volume :
46
Database :
OpenAIRE
Journal :
IFAC Proceedings Volumes
Accession number :
edsair.doi.dedup.....8a45dcd2e16777557c9db8d1c1d4b88f